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"This project explores the captivating realm of AI-generated image synthesis, leveraging cutting-edge technologies such as diffusion models and CLIP encoding. The central concept involves translating textual descriptions into lifelike images with remarkable precision and speed. By employing diffusion models, we ensure high- quality image generation, while effective text conditioning enhances the alignment between textual prompts and the resulting visuals. The incorporation of the CLIP model for text encoding further enriches the semantic associations between descriptions and images. The project not only aims to revolutionize image synthesis but also endeavors to bridge the communication gap between words and visuals in our increasingly text-centric world."
Saraswati et al. (Tue,) studied this question.
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